Fix some issues with Adjoint

NDTensors/src/lib/BlockSparseArrays/ext/BlockSparseArraysGradedAxesExt/src/BlockSparseArraysGradedAxesExt.jl

@@ -138,7 +138,7 @@ function Base.show(
   io::IO, mime::MIME"text/plain", a::Adjoint{<:Any,<:BlockSparseMatrix}; kwargs...
 )
   axes_a = axes(a)
-  a_nondual = BlockSparseArray(blocks(a'), dual.(nondual.(axes(a))))'
+  a_nondual = BlockSparseArray(blocks(a'), dual.(nondual.(axes(a'))))'
   return blocksparse_show(io, mime, a_nondual, axes_a; kwargs...)
 end
 

NDTensors/src/lib/BlockSparseArrays/src/BlockSparseArrays.jl

@@ -16,6 +16,7 @@ include("abstractblocksparsearray/arraylayouts.jl")
 include("abstractblocksparsearray/sparsearrayinterface.jl")
 include("abstractblocksparsearray/broadcast.jl")
 include("abstractblocksparsearray/map.jl")
+include("abstractblocksparsearray/linearalgebra.jl")
 include("blocksparsearray/defaults.jl")
 include("blocksparsearray/blocksparsearray.jl")
 include("BlockArraysSparseArrayInterfaceExt/BlockArraysSparseArrayInterfaceExt.jl")

NDTensors/src/lib/BlockSparseArrays/src/abstractblocksparsearray/linearalgebra.jl

@@ -0,0 +1,18 @@
+using LinearAlgebra: Adjoint, Transpose
+
+# Like: https://github.com/JuliaLang/julia/blob/v1.11.1/stdlib/LinearAlgebra/src/transpose.jl#L184
+# but also takes the dual of the axes.
+# Fixes an issue raised in:
+# https://github.com/ITensor/ITensors.jl/issues/1336#issuecomment-2353434147
+function Base.copy(a::Adjoint{T,<:AbstractBlockSparseMatrix{T}}) where {T}
+  a_dest = similar(parent(a), axes(a))
+  a_dest .= a
+  return a_dest
+end
+
+# More efficient than the generic `LinearAlgebra` version.
+function Base.copy(a::Transpose{T,<:AbstractBlockSparseMatrix{T}}) where {T}
+  a_dest = similar(parent(a), axes(a))
+  a_dest .= a
+  return a_dest
+end